splexas — CS2 Stats
LT76561198044973440[U:1:84707712]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 48.4% | 52.0% |
| Shot accuracy | 15.5% | 13.7% |
| Kill/death ratio | 1.09 | 1.08 |
| Match win rate | 73.5% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like ropz 92% playstyle similarity
Most alike: positioning profile, utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 573ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 19 | 10–9 | 53% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.03 | |
| S | 15 | 10–5 | 67% | 0.04 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| office | — | 2 | 0–2 | 0% | 0.01 |
| — | 1 | 0–1 | 0% | -0.04 | |
| boulder | — | 1 | 1–0 | 100% | 0.14 |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 161 | 57% | 1.05 | 15.2 |
| Anubis | 121 | 57% | 1.06 | 15.7 |
| Inferno | 100 | 62% | 1.13 | 15.3 |
| Nuke | 74 | 57% | 1.12 | 17.4 |
| Mirage | 58 | 40% | 0.93 | 15.3 |
| Dust2 | 29 | 45% | 0.99 | 17.1 |
| Train | 11 | 82% | 1.22 | 17.2 |
| Vertigo | 9 | 33% | 0.74 | 12.6 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3661 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.10 | 17% | 28 Aug → | ||
| 14–16 | 0.02 | 18% | 27 Aug → | ||
| 10–13 | -0.02 | 19% | 26 Aug → | ||
| 13–11 | -0.00 | 14% | 26 Aug → | ||
| 4–13 | -0.01 | 8% | 25 Aug → | ||
| 13–11 | -0.00 | 11% | 24 Aug → | ||
| 13–10 | 0.04 | 25% | 20 Aug → | ||
| 13–2 | -0.04 | 17% | 20 Aug → | ||
| 13–10 | -0.01 | 24% | 19 Aug → | ||
| 5–13 | -0.02 | 13% | 18 Aug → | ||
| 13–3 | 0.09 | 23% | 18 Aug → | ||
| 4–13 | -0.06 | 16% | 18 Aug → | ||
| 10–13 | 0.05 | 28% | 18 Aug → | ||
| 7–13 | -0.04 | 15% | 18 Aug → | ||
| 13–5 | -0.01 | 13% | 18 Aug → | ||
| 5–13 | -0.03 | 20% | 17 Aug → | ||
| 10–13 | 0.06 | 11% | 6 Aug → | ||
| 13–9 | 0.05 | 23% | 5 Aug → | ||
| 1–13 | -0.04 | 27% | 29 Jul → | ||
| 13–11 | 0.02 | 24% | 29 Jul → | ||
| 10–13 | -0.01 | 15% | 29 Jul → | ||
| 13–5 | 0.01 | 22% | 22 Jul → | ||
| 4–13 | -0.04 | 17% | 22 Jul → | ||
| 13–9 | 0.09 | 20% | 22 Jul → | ||
| 13–6 | 0.04 | 18% | 22 Jul → | ||
| 13–2 | 0.04 | 24% | 15 Jul → | ||
| 13–7 | 0.07 | 28% | 13 Jul → | ||
| 13–9 | 0.03 | 17% | 13 Jul → | ||
| 15–15 | 0.01 | 17% | 9 Jul → | ||
| 8–13 | 0.03 | 19% | 9 Jul → | ||
| boulder | 13–2 | 0.14 | 16% | 9 Jul → | |
| 9–13 | 0.11 | 16% | 8 Jul → | ||
| 13–4 | 0.06 | 29% | 8 Jul → | ||
| 13–2 | 0.00 | 19% | 7 Jul → | ||
| 13–7 | 0.04 | 18% | 7 Jul → | ||
| 13–11 | 0.04 | 21% | 6 Jul → | ||
| 12–16 | 0.03 | 20% | 1 Jul → | ||
| 9–13 | 0.06 | 34% | 25 Jun → | ||
| 11–13 | 0.01 | 22% | 23 Jun → | ||
| 1–13 | -0.04 | 20% | 23 Jun → | ||
| 13–10 | 0.06 | 13% | 23 Jun → | ||
| 5–13 | 0.01 | 13% | 23 Jun → | ||
| 13–5 | 0.14 | 21% | 23 Jun → | ||
| 2–13 | -0.07 | 7% | 10 Jun → | ||
| 6–13 | -0.05 | 16% | 8 Jun → | ||
| 3–13 | -0.05 | 11% | 8 Jun → | ||
| 16–12 | 0.06 | 11% | 4 Jun → | ||
| 11–13 | -0.05 | 17% | 4 Jun → | ||
| 4–13 | 0.02 | 22% | 4 Jun → | ||
| 13–9 | 0.03 | 13% | 28 May → | ||
| 13–10 | 0.06 | 14% | 28 May → | ||
| 13–9 | -0.03 | 9% | 27 May → | ||
| 13–3 | 0.00 | 19% | 27 May → | ||
| 13–16 | 0.01 | 18% | 27 May → | ||
| 13–10 | 0.06 | 21% | 24 May → | ||
| 13–4 | 0.10 | 26% | 24 May → | ||
| 4–13 | 0.02 | 18% | 20 May → | ||
| 13–10 | 0.02 | 19% | 19 May → | ||
| 13–11 | 0.01 | 5% | 18 May → | ||
| 13–3 | 0.05 | 14% | 18 May → | ||
| 13–6 | 0.02 | 11% | 18 May → | ||
| 13–7 | 0.02 | 12% | 18 May → | ||
| 7–13 | 0.02 | 17% | 18 May → | ||
| office | 8–13 | 0.01 | 20% | 13 May → | |
| office | 1–13 | 0.02 | 23% | 13 May → | |
| 13–4 | 0.12 | 15% | 12 May → | ||
| 10–13 | -0.00 | 22% | 12 May → | ||
| 13–11 | -0.07 | 10% | 10 May → | ||
| 13–7 | -0.10 | 14% | 9 May → | ||
| 13–11 | -0.01 | 24% | 9 May → | ||
| 13–11 | -0.01 | 14% | 8 May → | ||
| 11–13 | -0.04 | 18% | 7 May → | ||
| 13–7 | 0.13 | 17% | 7 May → | ||
| 7–13 | 0.05 | 11% | 6 May → | ||
| 13–10 | 0.06 | 24% | 6 May → | ||
| 15–15 | 0.06 | 11% | 6 May → | ||
| 13–7 | -0.03 | 11% | 6 May → | ||
| 10–13 | -0.00 | 12% | 5 May → | ||
| 13–8 | 0.04 | 19% | 5 May → | ||
| 12–12 | 0.03 | 17% | 4 May → | ||
| 13–4 | 0.15 | 16% | 4 May → | ||
| 4–13 | -0.00 | 20% | 4 May → | ||
| 13–3 | -0.03 | 26% | 4 May → | ||
| 5–13 | -0.03 | 28% | 4 May → | ||
| 6–13 | 0.04 | 22% | 30 Apr → | ||
| 15–15 | 0.05 | 14% | 30 Apr → | ||
| 8–13 | 0.01 | 33% | 30 Apr → | ||
| 13–4 | 0.15 | 22% | 30 Apr → | ||
| 13–10 | -0.03 | 16% | 29 Apr → | ||
| 13–3 | 0.01 | 10% | 29 Apr → | ||
| 7–13 | 0.01 | 15% | 29 Apr → | ||
| 6–13 | -0.02 | 20% | 29 Apr → | ||
| 7–13 | -0.01 | 22% | 29 Apr → | ||
| 6–13 | -0.01 | 13% | 27 Apr → | ||
| 6–13 | -0.04 | 19% | 27 Apr → | ||
| 7–13 | 0.03 | 15% | 21 Apr → | ||
| 13–6 | -0.03 | 14% | 21 Apr → | ||
| 13–1 | 0.02 | 13% | 20 Apr → | ||
| 13–6 | 0.02 | 18% | 20 Apr → | ||
| 2–5 | -0.05 | 11% | 20 Apr → |
Match data via Leetify.